Here are relevant reports on : artificial-intelligence-ai-in-financial-services-market
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Industrial Metaverse Market by Technology (Digital Twin, Augmented Reality, Virtual Reality, Artificial Intelligence, Edge Computing, Private 5G, Blockchain), End User (Automotive, Aerospace, Electronics, Healthcare) and Region - Global Forecast to 2029
The global industrial metaverse market is expected to grow from USD 28.65 billion in 2024 to USD 228.54 billion by 2029, at a compound annual growth rate (CAGR) of 51.5%. during the forecast period.The key players NVIDIA Corporation (US), Microsoft (US), Siemens (Germany), Amazon Web Services, Inc. (US), IBM (US), Meta (US), HTC Corporation (Taiwan), ABB (Switzerland), PTC (US), Dassault Systèmes (France), GE Vernova (US), Intel Corporation (US), AVEVA Group Limited (UK), Alphabet, Inc. (US), and Nokia (Finland).
- Published: July 2024
- Price: $ 4950
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Artificial Intelligence in Energy Market by Application (Energy Demand Forecasting, Grid Optimization & Management, Energy Storage Optimization), End Use (Generation, Transmission, Distribution, Consumption) - Global Forecast to 2030
The AI in energy market is projected to reach USD 58.66 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 36.9% during the same period. The major vendors covered in the AI in energy market are Schneider Electric SE (France), GE Vernova (US), ABB Ltd (Switzerland), Honeywell International (US), Siemens AG (Germany), AWS (US), IBM (US), Microsoft (US), Bidgely (US), and Oracle (US).
- Published: April 2025
- Price: $ 4950
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COVID-19 Impact on Healthcare Information Technology Market by Product (Telehealth, Cloud Computing, Artificial Intelligence, Analytics, RCM, PACS, VNA, EHR, IoT, ePrescription and PM), End-User and Region - Global Forecast to 2021
The COVID-19 Impact on Healthcare Information Technology Market is expected to grow from USD 227.5 billion in 2020 to USD 270.3 billion by 2021, at a CAGR of 23.6% during the forecast period. The prominent players in the global healthcare information technology market are Optum (US), Cerner (US), Cognizant (US), Change Healthcare (US), Philips Healthcare (Netherlands), Epic Systems (US), Dell Technologies (US), and Allscripts (US), among others
- Published: May 2020
- Price: $ 4950
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Artificial Intelligence in Cybersecurity Market by Security Type (Infrastructure (Network, Endpoint, Cloud), Data, Application), Technology (ML, Deep Learning (CNN, GAN), Context-Aware Computing), Application (IAM, DLP, and UTM) - Global Forecast to 2028
The global market for Al in Cybersecurity is projected to reach USD 60.6 billion by 2028, at a CAGR of 21.9% during the forecast period. Major vendors in the global AI in Cybersecurity market NVIDIA (US), Intel (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Microsoft (US), Palo Alto Networks Inc. (US), Trellix (US), CrowdStrike (US), NortonLifeLock (US), Cylance Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), Darktrace (UK), SparkCognition Inc. (US), Fortinet (US), Check Point Software Technologies, Ltd (US), High-Tech Bridge (Switzerland), Deep Instinct (US), SentinelOne (US), Feedzai (US), Vectra (US) Zimperium (US), Argus Cyber Security (Israel), Nozomi Networks (US), BitSight Technologies (US), and Antivirus companies such as Kaspersky Lab (Russia), Bitdefender (Romania), and ESET (US).
- Published: December 2023
- Price: $ 4950
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Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region - Global Forecast to 2030
The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% during the forecast period, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030. The key software & Tier- I suppliers profiled in the report include Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US). These systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), Scania (Sweden), and others.
- Published: November 2017
- Price: $ 4950
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AI in Finance Market by Product (Algorithmic Trading, Virtual Assistants, Robo-Advisors, GRC, IDP, Underwriting Tools), Technology, Application (Fraud Detection, Risk Management, Trend Analysis, Financial Planning, Forecasting) - Global Forecast to 2030
The AI in finance market size is projected to reach USD 190.33 billion by 2030, at a CAGR of 30.6% during the forecast period. Some major players in the AI in Finance Market include FIS (US), Fiserv (US), Google (US), Microsoft (US), Zoho (India), IBM (US), Socure (US), Workiva (US), Plaid (US), SAS (US), C3 AI (US), HighRadius (US), AWS (US), SAP (Germany), HPE (US), Oracle (US), Intel (US), NVIDIA (US), Salesforce (US), DataRobot (US), Enova International (US), AlphaSense (US), NetApp (US), Ocrolus (US), Vectra AI (US), Teradata (US), Pega (US), Vena Insights (US), Affirm (US), Symphony AI (US), Envestnet Yodlee (US), Addepto (Poland), Deeper Insights (UK), H2O.ai (US), App0 (US), Underwrite.ai (US), Deepgram (US), Emagia (US), InData Labs (US), Zest AI (US), Scienaptic AI (US), Gradient AI (US), Kasisto (US), Trumid (US), DataVisor (US), Kavout (US), WealthBlock (US).
- Published: February 2025
- Price: $ 4950
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Financial Analytics Market by Solution (Financial Functions Analytics and Financial Market Analytics), Application (Wealth Management, Transaction Monitoring, and Customer Management), and Industry Vertical - Global Forecast to 2023
The global market size of the financial analytics market is expected to grow from USD 6.9 billion in 2018 to USD 11.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 10.7% during the forecast period. The demand for financial analytics solutions is expected to have driven by the increasing demand for reducing planning and budgeting cycles, rising digital transformation, increasing use of technologies, and growing focus on improving customer experience and emphasis on cost reduction. To improve financial performance, organizations are looking for greater visibility into costs, resources, and performance. Financial analytics solutions offer improved speed and agility through automated planning, budgeting, and forecasting. The adoption of these solutions provides better insights into financial efficiency measures, operational Key Performance Indicators (KPIs), and product and customer profitability. These dynamic planning and budgeting platforms enable business users to adapt to changing budgeting and planning policies with minimal impact on budgeting timelines. Major vendors offering financial analytics solutions globally include Oracle (US), IBM (US), Teradata (US), TIBCO Software (US), SAP (Germany), SAS Institute (US), Alteryx (US), Qlik (US), FICO (US), GoodData (US), Birst (US), Google (US), Information Builders (US), Zoho Corporation (US), and Domo (US). The study includes an in-depth competitive analysis of the key players in the financial analytics market, along with their company profiles, recent developments, and key market strategies.
- Published: March 2019
- Price: $ 4950
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Digital Twin in Finance Market by Offering (Platforms & Solutions and Services), End-use Industry (BFSI (Banking, Financial Services, and Insurance), Manufacturing, Transportation & Logistics, Healthcare), Application and Region - Global Forecast to 2028
the digital twin in finance market size is projected to reach USD 0.5 billion by 2028, at a CAGR of 34.8% during the forecast period. The major players in the digital twin in finance market are IBM (US), Microsoft (US), Capgemini (France), SAP (Germany), Ansys (US), Altair (US), NVIDIA (US), NTT Data (Japan), Oracle (US), Deloitte (UK), Verisk (US), Cosmo Tech (France), NayaOne (UK), VSOptima (US), Merlynn (US), Piprate (Ireland), and TADA (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches and product enhancements, and acquisitions to expand their footprint in the digital twin in finance market.
- Published: April 2023
- Price: $ 4950
- TOC Available:
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Financial Services Application Market by Software (Audit, Risk & Compliance, BI & Analytics, Business Transaction Processing, Customer Experience, Enterprise IT), by Services, by Deployment, by Users & Region - Global Forecast to 2019
Financial Services have become backbone of each country throughout the global. Financial Services is an indicator about the Socio-Economic health of the country. With the growing effect of globalization, financial services application providers face an uphill task to provide the end users with applications that are compliant, risk free and data driven. Organizations need to transform themselves from traditional product based firms to “Customer In” firms. To achieve this transformation, digitization of financial services, evolution & development of consumer centric processes and concentration on core competencies is necessary. The global FSA market is segmented on the basis of five regions: North America, Europe, APAC, MEA, and Latin America. The global FSA market is provided for each region from 2014 to 2019. The global FSA market is expected to grow from $66.92 billion in 2014 to $103.66 billion to 2019, at a Compound Annual Growth Rate (CAGR) of 9.1% during the forecast period 2014-2019.
- Published: March 2015
- Price: $ 4950
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Stroke AI Market by Offering (Software, [AI], Services), Classification (ICD, CPT, HCPCS), Specialty (Surgical, Radiology), Function (Code, Assignment, Reimbursement, Analytics, Denial, Audit), End User (Hospital, ASC, Payers) - Global Forecast to 2030
The global stroke AI market, valued at US$0.22 billion in 2024, stood at US$0.32 billion in 2025 and is projected to advance at a resilient CAGR of 38.4% from 2025 to 2030, culminating in a forecasted valuation of US$1.60 billion by the end of the period. The stroke AI market is growing steadily, driven by the need for faster stroke detection, improved clinical decision-making, and reduced time-to-treatment. Increasing adoption of AI-enabled CT and MRI analysis for stroke triage, coupled with rising stroke incidence, aging populations, and hospital digitization, is accelerating demand.
- Published: April 2026
- Price: $ 4950
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